Service-Mining Based on Knowledge and Customer Databases

  • Yan Li
  • Peng Wen
  • Hu Wang
  • Chunqiang Gong
Conference paper

DOI: 10.1007/978-3-540-76719-0_63

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4798)
Cite this paper as:
Li Y., Wen P., Wang H., Gong C. (2007) Service-Mining Based on Knowledge and Customer Databases. In: Zhang Z., Siekmann J. (eds) Knowledge Science, Engineering and Management. KSEM 2007. Lecture Notes in Computer Science, vol 4798. Springer, Berlin, Heidelberg

Abstract

This paper addresses a service-mining technique and applies this technique to improve the services of vehicle service centers. We propose a service-mining system and its data structure to discover the most important services required through analyzing service records, feedback records and the available products. The system can improve the quality of mining automatically by updating mining strategies regularly.

Keywords

Service-mining Behavior prediction Vehicle service Customer Relationship Management 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Yan Li
    • 1
  • Peng Wen
    • 2
  • Hu Wang
    • 3
  • Chunqiang Gong
    • 3
  1. 1.The Department of Mathematics and Computing,The University of Southern Queensland, QLD 4350Australia
  2. 2.Faculty of Engineering and Surveying, The University of Southern Queensland, QLD 4350Australia
  3. 3.School of Information System, Wuhan University of Technology, WuhanP.R. China

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